AIMC Topic: Animal Husbandry
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Assessment of Laying Hens' Thermal Comfort Using Sound Technology.
Sensors (Basel, Switzerland)
Jan 14, 2020
Heat stress is one of the most important environmental stressors facing poultry production and welfare worldwide. The detrimental effects of heat stress on poultry range from reduced growth and egg production to impaired health. Animal vocalisations ...
Broiler stunned state detection based on an improved fast region-based convolutional neural network algorithm.
Poultry science
Dec 30, 2019
An improved fast region-based convolutional neural network (RCNN) algorithm is proposed to improve the accuracy and efficiency of recognizing broilers in a stunned state. The algorithm recognizes 3 stunned state conditions: insufficiently stunned, mo...
Prediction and optimization of slaughter weight in meat-type quails using artificial neural network modeling.
Poultry science
Dec 28, 2019
Carcass yield of meat-type quails is strongly correlated with the weight of the birds at slaughter (slaughter weight [SW]; body weight at 45 D of age). Moreover, prediction of superior animals for SW at the earlier stages of the rearing period is fav...
Research Note: Longitudinal monitoring of chicken houses in a commercial layer farm for antimicrobial resistance in Escherichia coli with special reference to plasmid-mediated quinolone resistance.
Poultry science
Dec 12, 2019
Plasmid-mediated quinolone resistance (PMQR) genes located on conjugative plasmids can be transferred to other bacteria in the absence of antimicrobial selective pressure. To elucidate the prevalence of resistance, including PMQR in an egg-producing ...
Decision tree machine learning applied to bovine tuberculosis risk factors to aid disease control decision making.
Preventive veterinary medicine
Nov 30, 2019
Identifying and understanding the risk factors for endemic bovine tuberculosis (TB) in cattle herds is critical for the control of this disease. Exploratory machine learning techniques can uncover complex non-linear relationships and interactions wit...
Machine learning models for predicting the use of different animal breeding services in smallholder dairy farms in Sub-Saharan Africa.
Tropical animal health and production
Nov 15, 2019
This study is concerned with developing predictive models using machine learning techniques to be used in identifying factors that influence farmers' decisions, predict farmers' decisions, and forecast farmers' demands relating to breeding service. T...
Machine-learning algorithms to identify key biosecurity practices and factors associated with breeding herds reporting PRRS outbreak.
Preventive veterinary medicine
Aug 20, 2019
Investments in biosecurity practices are made by producers to reduce the likelihood of introducing pathogens such as porcine reproductive and respiratory syndrome virus (PRRSv). The assessment of biosecurity practices in breeding herds is usually don...
The effect of pasture quantity temporal variation on milking robot utilization.
Journal of dairy science
Jan 11, 2019
In pasture-based automatic milking systems (AMS), a decrease in robot utilization (RU) often occurs in the early morning hours. Novel feeding strategies that encourage voluntary cow traffic throughout 24 h could help mitigate this problem. We determi...
Management practices associated with strongylid parasite prevalence on horse farms in rural counties of Kentucky.
Veterinary parasitology, regional studies and reports
Aug 23, 2018
Anthelmintic resistance among cyathostomin parasites is a wide-spread problem. The parasite control guidelines written by the American Association of Equine Practitioners (AAEP) encourages the preservation of anthelmintic efficacy by reducing treatme...
Associations between management practices and within-pen prevalence of calf diarrhea and respiratory disease on dairy farms using automated milk feeders.
Journal of dairy science
Dec 28, 2017
Data on management practices used with automated milk feeders (AMF) are needed to identify factors associated with calf health in these systems. The objectives of this observational, longitudinal, cross-sectional study were to estimate the prevalence...
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